{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import wave\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_energy(audio):\n",
    "    f = wave.open(audio, 'rb')\n",
    "    params = f.getparams()\n",
    "    nchannels, sampwidth, framerate, nframes = params[:4]\n",
    "    strData = f.readframes(nframes)#读取音频，字符串格式\n",
    "    waveData = np.fromstring(strData,dtype=np.int16)#将字符串转化为int\n",
    "    #print(len(strData), len( waveData))\n",
    "    #waveData = np.reshape(waveData,[nframes,nchannels]).T\n",
    "    #waveData = waveData*1.0/(max(abs(waveData)))#wave幅值归一化\n",
    "    # plot the wave\n",
    "    time = np.arange(0,nframes)*(1.0 / framerate)\n",
    "    print(max(waveData), min(waveData))\n",
    "    plt.plot(time,waveData)\n",
    "    plt.xlabel(\"Time(s)\")\n",
    "    plt.ylabel(\"Amplitude\")\n",
    "    plt.title(\"Single channel wavedata\")\n",
    "    plt.grid('on')#标尺，on：有，off:无。\n",
    "    return max(waveData)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "32494 -32768\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:6: DeprecationWarning: The binary mode of fromstring is deprecated, as it behaves surprisingly on unicode inputs. Use frombuffer instead\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "32494"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_energy('audio_wav_de_txt/xiefei_a5/xiefei_a51585792516.wav')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "710 -643\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:6: DeprecationWarning: The binary mode of fromstring is deprecated, as it behaves surprisingly on unicode inputs. Use frombuffer instead\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "710"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_energy('audio_wav_2/surroundings2/surroundings21583304000.wav')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3150 -3437\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:6: DeprecationWarning: The binary mode of fromstring is deprecated, as it behaves surprisingly on unicode inputs. Use frombuffer instead\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "3150"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_energy('audio_wav_de_txt/nobody/nobody1585737779.wav')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
